IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v98y2014i1d10.1007_s11192-013-1021-9.html
   My bibliography  Save this article

Origin and emergence of entrepreneurship as a research field

Author

Listed:
  • M. Meyer

    (Kent Business School, University of Kent
    SC-Research Institute, University of Vaasa
    Katholieke Universiteit Leuven)

  • D. Libaers

    (Regnier Institute for Entrepreneurship and Innovation, Henry W. Bloch School of Management, University of Missouri-Kansas City)

  • B. Thijs

    (Katholieke Universiteit Leuven)

  • K. Grant

    (London Southbank University)

  • W. Glänzel

    (Katholieke Universiteit Leuven
    Hungarian Academy of Sciences)

  • K. Debackere

    (Katholieke Universiteit Leuven)

Abstract

This paper seeks to map out the emergence and evolution of entrepreneurship as an independent field in the social science literature from the early 1990s to 2009. Our analysis indicates that entrepreneurship has grown steadily during the 1990s but has truly emerged as a legitimate academic discipline in the latter part of the 2000s. The field has been dominated by researchers from Anglo-Saxon countries over the past 20 years, with particularly strong representations from the US, UK, and Canada. The results from our structural analysis, which is based on a core document approach, point to five large knowledge clusters and further 16 sub-clusters. We characterize the clusters from their cognitive structure and assess the strength of the relationships between these clusters. In addition, a list of most cited articles is presented and discussed.

Suggested Citation

  • M. Meyer & D. Libaers & B. Thijs & K. Grant & W. Glänzel & K. Debackere, 2014. "Origin and emergence of entrepreneurship as a research field," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 473-485, January.
    • Handle: RePEc:spr:scient:v:98:y:2014:i:1:d:10.1007_s11192-013-1021-9
    DOI: 10.1007/s11192-013-1021-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-013-1021-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-013-1021-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wolfgang Glänzel & Bart Thijs & András Schubert & Koenraad Debackere, 2009. "Subfield-specific normalized relative indicators and a new generation of relational charts: Methodological foundations illustrated on the assessment of institutional research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 165-188, January.
    2. Wolfgang Glänzel & Bart Thijs, 2012. "Using ‘core documents’ for detecting and labelling new emerging topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 399-416, May.
    3. Aurora A. C. Teixeira, 2011. "Mapping the (in)visible college(s) in the field of entrepreneurship," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 1-36, October.
    4. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    5. Frizo Janssens & Wolfgang Glänzel & Bart Moor, 2008. "A hybrid mapping of information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 607-631, June.
    6. Wolfgang Glänzel & Bart Thijs, 2011. "Using ‘core documents’ for the representation of clusters and topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 297-309, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rons, Nadine, 2018. "Bibliometric approximation of a scientific specialty by combining key sources, title words, authors and references," Journal of Informetrics, Elsevier, vol. 12(1), pages 113-132.
    2. Erjia Yan, 2014. "Topic-based Pagerank: toward a topic-level scientific evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 407-437, August.
    3. Wolfgang Glänzel, 2015. "Bibliometrics-aided retrieval: where information retrieval meets scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2215-2222, March.
    4. João J. M. Ferreira & Cristina I. Fernandes & Sascha Kraus, 2019. "Entrepreneurship research: mapping intellectual structures and research trends," Review of Managerial Science, Springer, vol. 13(1), pages 181-205, February.
    5. Michel Zitt, 2015. "Meso-level retrieval: IR-bibliometrics interplay and hybrid citation-words methods in scientific fields delineation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2223-2245, March.
    6. Manuel Portugal Ferreira & Nuno R. Reis & Roberta M. Paula & Claudia Frias Pinto, 2017. "Structural and longitudinal analysis of the knowledge base on spin-off research," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 289-313, July.
    7. Batista-Canino, Rosa M. & Santana-Hernández, Lidia & Medina-Brito, Pino, 2024. "A holistic literature review on entrepreneurial Intention: A scientometric approach," Journal of Business Research, Elsevier, vol. 174(C).
    8. Wolfgang Glänzel & Lin Zhang, 2018. "Scientometric research assessment in the developing world: A tribute to Michael J. Moravcsik from the perspective of the twenty-first century," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1517-1532, June.
    9. Rey-Long Liu, 2015. "Passage-Based Bibliographic Coupling: An Inter-Article Similarity Measure for Biomedical Articles," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-22, October.
    10. Mora, Luca & Deakin, Mark & Reid, Alasdair, 2019. "Combining co-citation clustering and text-based analysis to reveal the main development paths of smart cities," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 56-69.
    11. Qinghua Zhai & Jing Su & Minghai Ye, 2014. "Focus on China: the current status of entrepreneurship research in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1985-2006, March.
    12. Gina Santos & Carla Susana Marques & João J. Ferreira, 2018. "A look back over the past 40 years of female entrepreneurship: mapping knowledge networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 953-987, May.
    13. Bart Thijs & Lin Zhang & Wolfgang Glänzel, 2015. "Bibliographic coupling and hierarchical clustering for the validation and improvement of subject-classification schemes," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1453-1467, December.
    14. João J. M. Ferreira & Fernando A. F. Ferreira & Cristina I. M. A. S. Fernandes & Marjan S. Jalali & Mário L. Raposo & Carla S. Marques, 2016. "What do we [not] know about technology entrepreneurship research?," International Entrepreneurship and Management Journal, Springer, vol. 12(3), pages 713-733, September.
    15. Manuel Castriotta & Michela Loi & Elona Marku & Ludovica Moi, 2021. "Disentangling the corporate entrepreneurship construct: conceptualizing through co-words," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2821-2863, April.
    16. Bart Thijs & Edgar Schiebel & Wolfgang Glänzel, 2013. "Do second-order similarities provide added-value in a hybrid approach?," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 667-677, September.
    17. Viergutz, Tim & Schulze-Ehlers, Birgit, 2018. "The use of hybrid scientometric clustering for systematic literature reviews in business and economics," DARE Discussion Papers 1804, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    18. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
    19. Wolfgang Glänzel & Koenraad Debackere, 2022. "Various aspects of interdisciplinarity in research and how to quantify and measure those," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5551-5569, September.
    20. Bart Thijs & Wolfgang Glänzel, 2018. "The contribution of the lexical component in hybrid clustering, the case of four decades of “Scientometrics”," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 21-33, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:98:y:2014:i:1:d:10.1007_s11192-013-1021-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.